Propagating uncertainty through discrete time dynamic systems

Proceedings of the 2006 IEEE International Workshop on Advanced Methods for Uncertainty Estimation in Measurement, AMUEM 2006

Volumn 2006, Issue , 2006, Pages 23-26

  Mari, Luca ^a   Petri, Dario ^b  

^a CREMS Centre for Research on Health Economics Social and Health Care Management Carlo Cattaneo University LIUC   (Italy)

^b UNIVERSITY OF TRENTO   (Italy)

Author keywords

Monte Carlo Method; Dynamic systems; simulation; Uncertainty propagation

Indexed keywords

COMPUTER SIMULATION; DISCRETE TIME CONTROL SYSTEMS; MONTE CARLO METHODS;

DISCRETE TIME DYNAMIC SYSTEMS; UNCERTAINTY PROPAGATION;

UNCERTAIN SYSTEMS;

EID: 33845577192     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AMYEM.2006.1650742     Document Type: Conference Paper

References (5)

1. G.S.Fishman, Monte Carlo: concepts, algorithms, and applications, Springer, New York, 1996.
2. 2.
3. International Organization for Standardization, Guide to the expression of uncertainty in measurement, Geneva, 1993, amended 1995 (published by ISO in the name of BIPM, IEC, IFCC, IUPAC, IUPAP and OIML) (now also ISO ENV 13005: 1999).
4. L.von Bertalanffy, General system theory: foundations, development, applications, Braziller, New York, 1968.
5. J.D.Sterman, Business dynamics, systems thinking and modeling for a complex world, Irwin/McGraw-Hill, New York, 2000.